icdm 2008 论文列表Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), December 15-19, 2008, Pisa, Italy. |
A Data Stream Mining System.
A KDD Platform Based on the Application Service Provider Paradigm.
Automatic Multimodal Aggregation of News from Television and the Web.
GeoDMA - A Novel System for Spatial Data Mining.
Thales Sehn Körting Leila Maria Garcia Fonseca Maria Isabel Sobral Escada Felipe Castro da Silva Marcelino Pereira dos Santos Silva
G-REX: A Versatile Framework for Evolutionary Data Mining.
Interactive Exploration of Model-Based Automatically Extracted Data.
GRAPHITE: A Visual Query System for Large Graphs.
Semantic Full-Text Search with ESTER: Scalable, Easy, Fast.
Using Betweenness Centrality to Identify Manifold Shortcuts.
The Impact of Structural Changes on Predictions of Diffusion in Networks.
Graph-Based Data Mining in Dynamic Networks: Empirical Comparison of Compression-Based and Frequency-Based Subgraph Mining.
Characterizing Network Motifs to Identify Spam Comments.
Temporal Evolution of the UK Web.
A Radar for the Internet.
Detecting Suspicious Behavior in Surveillance Images.
An Efficient Search Algorithm for Content-Based Image Retrieval with User Feedback.
Full-Reference Quality Assessment for Video Summary.
A New Method for Multi-view Face Clustering in Video Sequence.
Human Action Recognition by Radon Transform.
VideoM: Multi-video Synopsis.
Semantic Concept Learning through Massive Internet Video Mining.
Combining Behavioral and Social Network Data for Online Advertising.
Character String Analysis and Customer Path in Stream Data.
Innovation Game as Workplace for Sensing Values in Design and Market.
Title-Composing Support System for Reaching New Audiences.
Simultaneous Co-segmentation and Predictive Modeling for Large, Temporal Marketing Data.
Using Contextual Information in Transactional Segmentation: An Empirical Study in E-Commerce.
Semantic Analysis Method for Unstructured Data in Telecom Services.
Using Contextual Information to Decrease the Cost of Incorrect Predictions in On-line Customer Behavior Modeling.
Exploiting Data Semantics to Discover, Extract, and Model Web Sources.
José Luis Ambite Craig A. Knoblock Kristina Lerman Anon Plangprasopchok Thomas A. Russ Cenk Gazen Steven Minton Mark James Carman
Semantic Annotation and Services for KDD Tools Sharing and Reuse.
OntoDM: An Ontology of Data Mining.
Keyword Extraction Based on Lexical Chains and Word Co-occurrence for Chinese News Web Pages.
Ontology-Based Protein-Protein Interactions Extraction from Literature Using the Hidden Vector State Model.
Semantic Features for Multi-view Semi-supervised and Active Learning of Text Classification.
If Constraint-Based Mining is the Answer: What is the Constraint? (Invited Talk).
The Set Classification Problem and Solution Methods.
A New Graph-Based Algorithm for Clustering Documents.
Airel Pérez Suárez José Francisco Martínez Trinidad Jesús Ariel Carrasco-Ochoa José Eladio Medina-Pagola
ZCS Revisited: Zeroth-Level Classifier Systems for Data Mining.
ARUBAS: An Association Rule Based Similarity Framework for Associative Classifiers.
An Adaptive Pre-filtering Technique for Error-Reduction Sampling in Active Learning.
Estimating True and False Positive Rates in Higher Dimensional Problems and Its Data Mining Applications.
Text Knowledge Mining: An Alternative to Text Data Mining.
Hunting for Coherent Co-clusters in High Dimensional and Noisy Datasets.
An FUSP-Tree Maintenance Algorithm for Record Modification.
Statistical Independence and Contingency Matrix.
Multilayer Change-Point Detection on Stock Order Flows by Wavelet Transformation.
A Logical Formulation of the Granular Data Model.
Reclassification Rules.
Bounding and Estimating Association Rule Support from Clusters on Binary Data.
Remarks to Logical Aspects of Measures of Interestingness of Association Rules.
Mining Allocating Patterns in One-Sum Weighted Items.
An Efficient Sequential Pattern Mining Algorithm Based on the 2-Sequence Matrix.
Rules Extraction from Multiple Decisions Ordered Information Tables.
Co-training by Committee: A New Semi-supervised Learning Framework.
Investigation of Various Matrix Factorization Methods for Large Recommender Systems.
Distributed Linear Programming and Resource Management for Data Mining in Distributed Environments.
Efficient Distance Computation Using SQL Queries and UDFs.
Parallel Hierarchical Clustering on Market Basket Data.
Stream-Close: Fast Mining of Closed Frequent Itemsets in High Speed Data Streams.
Exploiting Graphic Card Processor Technology to Accelerate Data Mining Queries in SAP NetWeaver BIA.
Service Oriented KDD: A Framework for Grid Data Mining Workflows.
Distributed Data Mining Models as Services on the Grid.
Chi-Square Test Based Decision Trees Induction in Distributed Environment.
Mining Unstructured Text at Gigabyte per Second Speeds.
A Semi-supervised Learning Algorithm for Recognizing Sub-classes.
Detecting and Tracking Spatio-temporal Clusters with Adaptive History Filtering.
A Vector-Geometry Based Spatial kNN-Algorithm for Traffic Frequency Predictions.
Web Query Prediction by Unifying Model.
High Granularity Remote Sensing and Crop Production over Space and Time: NDVI over the Growing Season and Prediction of Cotton Yields at the Farm Field Level in Texas.
Scalable Sparse Bayesian Network Learning for Spatial Applications.
Extraction of Discriminative Features from Hyperspectral Data.
Speeding up Array Query Processing by Just-In-Time Compilation.
Incremental Maintenance of Discovered Spatial Colocation Patterns.
RE-SPaM: Using Regular Expressions for Sequential Pattern Mining in Trajectory Databases.
Data Mining for Climate Change and Impacts.
Detection and Exploration of Outlier Regions in Sensor Data Streams.
Standards-Based Coastal Sensor Web.
Kernels for the Investigation of Localized Spatiotemporal Transitions of Drought with Support Vector Machines.
A Robust Graph-Based Algorithm for Detection and Characterization of Anomalies in Noisy Multivariate Time Series.
Risk Assessment of Atmospheric Hazard Releases Using K-Means Clustering.
Enriching Spatial OLAP with Map Generalization: a Conceptual Multidimensional Model.
Geographic Knowledge Discovery in INGENS: An Inductive Database Perspective.
A Spatio-temporal Simulation Model for Movement Data Generation.
Harmonic Blind Sound Source Isolation Enhanced by Spectrum Clustering.
Discovery of Internal and External Hyperclique Patterns in Complex Graph Databases.
Multiple-Instance Regression with Structured Data.
Association Action Rules.
Mining Correlated Pairs of Patterns in Multidimensional Structured Databases.
Word Sense Discovery for Web Information Retrieval.
Extension of Partitional Clustering Methods for Handling Mixed Data.
Discovering Triggering Events from Longitudinal Data.
Clustering Events on Streams Using Complex Context Information.
Plant Protein Localization Using Discriminative and Frequent Partition-Based Subsequences.
Mining Temporal Patterns with Quantitative Intervals.
Semi-supervised Collaborative Clustering with Partial Background Knowledge.
k-Nearest Neighbor Classification on First-Order Logic Descriptions.
Towards Combining Structured Pattern Mining and Graph Kernels.
Hierarchical Text Categorization in a Transductive Setting.
Unifying Unknown Nodes in the Internet Graph Using Semisupervised Spectral Clustering.
Identification of Causal Variables for Building Energy Fault Detection by Semi-supervised LDA and Decision Boundary Analysis.
Actionable Knowledge Discovery for Threats Intelligence Support Using a Multi-dimensional Data Mining Methodology.
Discovering Implicit Redundancies in Network Communications for Detecting Inconsistent Values.
Food Sales Prediction: "If Only It Knew What We Know".
Post-Processing of Discovered Association Rules Using Ontologies.
One-Class Classification of Text Streams with Concept Drift.
TransRank: A Novel Algorithm for Transfer of Rank Learning.
Scoring Models for Insurance Risk Sharing Pool Opimization.
Behavior Informatics and Analytics: Let Behavior Talk.
Parameter Tuning for Differential Mining of String Patterns.
Domain Driven Data Mining (D3M).
A Case Study on Classification Reliability.
A Study on the Reliability of Case-Based Reasoning Systems.
Region Classification with Decision Trees.
A Comparative Study of Data Sampling and Cost Sensitive Learning.
Online Reliability Estimates for Individual Predictions in Data Streams.
Wavelet-Based Data Perturbation for Simultaneous Privacy-Preserving and Statistics-Preserving.
Research on Methodology of Classification Mining for Tumor Markers.
Comparing Reliability of Association Rules and OLAP Statistical Tests.
Comparing Accuracies of Rule Evaluation Models to Determine Human Criteria on Evaluated Rule Sets.